Shibo Zhang

I am a computer science PhD candidate at Northwestern University. I work in the HABits Lab on mobile health and passive sensing projects.

📧 Email     📄 CV / Resume     Google Scholar     Twitter

profile photo

My research area is human activity recognition and machine learning, using physical and physiological sensing data. With rich academic project experiences and health industrial experiences, I have grown a passion for applying machine learning and deep learning techniques to help advance our ability to perceive and understand human behaviors, facilitate our life in multiple dimensions, and engage in the development of the top-class products of high impact.

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (to come)
DL review team
Open access
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection (accepted)
Shibo Zhang, Ebrahim Nemati, Tousif Ahmed, Md Mahbubur Rahman, Jilong Kuang, Alex Gao
arXiv / paper / bib
Association of Number of Bites and Eating Speed With Energy Intake: Wearable Technology Results Under Free-Living Conditions
Nabil Alshurafa, Shibo Zhang, Christopher Romano, Hui Zhang, Angela Fidler Pfammatter, Annie W Lin
Appetite 2021
paper / bib
CoughBuddy: Multi-modal Cough Event Detection Using Earbuds Platform
Ebrahim Nemati, Shibo Zhang, Tousif Ahmed, Md Mahbubur Rahman, Jilong Kuang, Alex Gao
paper / bib
Deep Generative Cross-modal On-body Accelerometer Data Synthesis from Videos
Shibo Zhang, Nabil Alshurafa
Ubicomp, 2020 (Doctoral Colloquium)
paper / bib
🏆 VibroScale: Turning Your Smartphone into a Weighing Scale (Best Poster Award)
Shibo Zhang, Qiuyang Xu, Sougata Sen, Nabil Alshurafa
Ubicomp, 2020 (Poster)
paper / bib / website / video / reviews
SyncWISE: Window Induced Shift Estimation for Synchronization of Video and Accelerometry from Wearable Sensors
Yun Zhang*, Shibo Zhang*, Miao Liu, Elyse Daly, Battalio Samuel, Santosh Kumar, Bonnie Spring, James M. Rehg, Nabil Alshurafa (* equal contribution)
IMWUT, 2020 (UbiComp)
paper / bib / website / code + data / video
🏅 NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions (Best Presentation Award, Runner-up)
Shibo Zhang, Yuqi Zhao, Dzung Nguyen, Runsheng Xu, Sougata Sen, Josiah Hester, Nabil Alshurafa
IMWUT, 2020 (UbiComp)
paper / bib / website / code + data / article / video / teaser / talk
3DSP Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang, Thomas G. Habetler
IEEE Access, 2020
paper / bib
3DSP 🏆 micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers (Distinguished Paper Award)
Zachary D. King, Judith Moskowitz, Begum Egilmez, Shibo Zhang, Lida Zhang, Michael Bass, John Rogers, Roozbeh Ghaffari, Laurie Wakschlag, Nabil Alshurafa
IMWUT, 2019 (UbiComp)
paper / bib / code + data

I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing
Shibo Zhang, William Stogin, Nabil Alshurafa
Information Fusion, 2018
paper / bib / data

Demo: Habits necklace: A neck-worn sensor that captures eating related behavior and more
Shibo Zhang, Dzung Nguyen, Zachary D. King, Jishnu Pradeep, Nabil Alshurafa
UbiComp, 2018 (Demo)
paper / bib / demo / poster
3DSP Estimating caloric intake in bedridden hospital patients with audio and neck-worn sensors
Shibo Zhang, Dzung Nguyen, Gan Zhang, Runsheng Xu, Nikolaos Maglaveras, Nabil Alshurafa
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2018
paper / bib / poster
When generalized eating detection machine learning models fail in the field
Shibo Zhang, Rawan Alharbi, Matthew Nicholson, Nabil Alshurafa
UbiComp Workshop HASCA, 2017
paper / bib
🏆 Food watch: detecting and characterizing eating episodes through feeding gestures (Best Paper Award)
Shibo Zhang, Rawan Alharbi, William Stogin, Mohamad Pourhomayun, Bonnie Spring, Nabil Alshurafa
11th ACM BodyNets, 2016
paper / bib
3DSP An Iterative Dimensionality-Scaling System for Real-Time Health Monitoring Applications
Haik Kalantarian, Majid Sarrafzadeh, Shibo Zhang, Nabil Alshurafa
IEEE International Conference on Healthcare Informatics (ICHI), 2016
paper / bib / poster
3DSP Auto-Commissioning and Adaptive Tuning of Servo Control Parameters in an Electro-Hydraulic System Based on Physical Plant Model
Xiaomeng Cheng, Shibo Zhang, Yiun Chen, Haicong Zhang, Xu Zhu
IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL), 2014
paper / bib

2020 Best Poster Award, UbiComp (2%)
2020 Best Presentation Award Runner-up - Audience Choice Tied, UbiComp (1.3%)
2019 Distinguished Paper Award, IMWUT Vol.3 (3.7%)
2018 NSF Student Attendance Scholarship
2017 Graduate Student Travel Grant, Northwestern University
2016 Best Paper Award, ACM BodyNets (2.4%)
2013 Best Intern Award, Eaton Corporate Research & Technology
2012 Best Intern Award, Eaton Corporate Research & Technology
2012 Eaton Innovation Scholarship
2012 Outstanding Undergraduate Thesis Award (3%)
2011 National Freescale Cup Autonomous Race Car Challenge, Regional Second Prize
2009 First-Class Scholarship at Undergraduate School (5%)
2008 First-Class Scholarship at Undergraduate School (5%)


Teaching Assistant:
EECS 397/497: Wireless and Mobile Health (mHealth) 2017, 2018 (reviews)

Journal Reviewer:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Journal of Biomedical and Health Informatics (JBHI)
Journal of Medical Internet Research (JMIR)
IEEE Transactions on Industrial Electronics
Journal of Vibration and Control
IEEE Access

Conference Reviewer:
International Symposium on Wearable Computers (ISWC 2020, 2021)
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021)
The ACM CHI Conference on Human Factors in Computing Systems (CHI 2021)
ACM International Conference on Multimodal Interaction (ICMI 2020)
The annual symposium on Computer-Human Interaction in Play (CHI PLAY 2020)
Annual IEEE Conference on Pervasive Computing and Communications (PerCom 2020)
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2019)

More about Me

I love robotics. This is a ball-collecting quadrotor I engaged in and was responsible for control system using DJI M100.

External Links

  • CS conference list; AI conference deadline
  • doi2bib tool
  • Guide to a successful presentation
  • This researcher (Pingfan Song) is awesome in signal/image processing and machine learning.

  • Webpage credit: Jon Barron